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Feature subset selection and classification of intracardiac electrograms during atrial fibrillation.

, , , , , and . Biomed. Signal Process. Control., (2017)

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Mobiab system for diabetes mellitus compensation., and . IWCIM, page 1-3. IEEE, (2015)Feature selection for discrimination of fractionation levels in atrial electrograms., , , , and . EMBC, page 1595-1598. IEEE, (2014)Analysis of Vestibular-Ocular Reflex by Evolutionary Framework., , , , , , and . ICANN (1), volume 5163 of Lecture Notes in Computer Science, page 452-461. Springer, (2008)Hidden Markov models for analysis of eye movements of dyslexic children., , and . DSP, page 1-5. IEEE, (2013)Optimization of Parkinson Disease treatment combining anti-Parkinson drugs and deep brain stimulation using patient diaries., , and . EMBC, page 3444-3447. IEEE, (2015)Entertainment and Ambient: A New OLDES' View., , , , , and . HCI (7), volume 4556 of Lecture Notes in Computer Science, page 511-519. Springer, (2007)InA: Inhibition Adaption on pre-trained language models., , , , , and . Neural Networks, (2024)Characterization of Artifact Influence on the Classification of Glucose Time Series Using Sample Entropy Statistics., , , , , , , , and . Entropy, 20 (11): 871 (2018)Fractionated electrograms and rotors detection in chronic atrial fibrillation using model-based clustering., , , , , , , , and . EMBC, page 1579-1582. IEEE, (2014)Preclustering of Electrocardiographic Signals Using Left-to-Right Hidden Markov Models., , and . SSPR/SPR, volume 3138 of Lecture Notes in Computer Science, page 939-947. Springer, (2004)